Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-26T14:20:49.438Z Has data issue: false hasContentIssue false

Evaluating the impact of sprinkler cycle and flow rate on dairy buffalo performance during heat stress

Published online by Cambridge University Press:  08 January 2024

Syed I. Hussain
Affiliation:
Department of Livestock Management, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
Nisar Ahmad
Affiliation:
Department of Livestock Management, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
Saeed Ahmad
Affiliation:
Department of Animal Nutrition, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
Maqsood Akhter
Affiliation:
Livestock Production Research Institute, Bahadurnagar, Okara 56301, Pakistan
Muhammad Q. Shahid*
Affiliation:
Department of Livestock Management, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
*
Corresponding author: Muhammad Q. Shahid; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The aim of this study was to evaluate the effect of the sprinkler cycle and flow rate on physiological, behavioural, and productive responses in dairy buffaloes. Nine Nili Ravi lactating buffaloes were subjected to three sprinkler cycles and two flow rates using a double replicated 3 × 3 Latin square design. The flow rates were 1.25 and 2 l/min, and the sprinkler cycles (minutes water on/off, number of cycles/h) were: 3/3, 10 cycles; 3/6, 7 cycles and 3/9, 5 cycles. The showering was applied from 0800 till 1630 h daily. In the first square of 21 d, each of the three sprinkler cycles was applied using a 1.25 l/min flow rate for 7 d per cycle. In the later square, the same treatments (sprinkler cycles) were applied using the 2 l/min flow rate. The average temperature humidity index during the study period was 85.7 ± 3.8 (Mean ± sd). The result showed that the 3/3 treatment group had lower body temperature and respiration rate than the other groups. The buffaloes in the 3/3 group produced 0.5 and 0.7 kg more milk with 1.4 and 2.4% more fat than the 3/6 and the 3/9 treatment groups, respectively. Similarly, the 2 l/min flow rate had a lower core body temperate and respiration rate and higher milk yield than the 1.25 l/min group. The 3/3 showering cycle with a 2 l/min flow rate appeared effective in improving physiological responses and milk yield in dairy buffaloes.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

Sprinkler cooling is widely used to mitigate heat stress in dairy cows. However, the use of sprinklers to cool dairy buffaloes is not as prevalent in the Indo-Pak subcontinent, where buffaloes are the primary dairy animal. Typically, dairy buffaloes cool themselves by wallowing in running water or ponds (Napolitano et al., Reference Napolitano, Pacelli, Grasso, Braghieri and De-Rosa2013). As the access to surface water sources decreases, sprinkler cooling and water application using handheld hosepipes are now popular ways of cooling dairy buffaloes in the region (Bah et al., Reference Bah, Rashid, Javed, Pasha and Shahid2021a). Since these methods consume significant amounts of groundwater (Bah et al., Reference Bah, Shahid, Pasha and Javed2022), it is essential to explore efficient ways of using sprinklers to cool buffaloes.

Sprinklers are commonly used to cool dairy cows during the summer months (Anderson et al., Reference Anderson, Bradford, Harner, Tucker, Choi, Allen, Hall, Rungruang, Collier and Smith2013; Tresoldi et al., Reference Tresoldi, Schütz and Tucker2018a), as they positively impact physiological and behavioural responses. Studies have demonstrated that sprinkler cooling can lower body temperature and respiration rate (Chen et al., Reference Chen, Schütz and Tucker2013, Reference Chen, Schütz and Tucker2016; Tresoldi et al., Reference Tresoldi, Schütz and Tucker2019), increase feed intake and boost milk yield (Keister et al., Reference Keister, Moss, Zhang, Teegerstrom, Edling, Collier and Ax2002). Additionally, it improves behavioural responses such as eating time, rumination time and resting time (Chen et al., Reference Chen, Schütz and Tucker2016; Tresoldi et al., Reference Tresoldi, Schütz and Tucker2018b). Recently, researchers have been focusing on improving water usage efficiency in cow cooling (Tresoldi et al., Reference Tresoldi, Schütz and Tucker2018a, Reference Tresoldi, Schütz and Tucker2018b, Reference Tresoldi, Schütz and Tucker2019; Bah et al., Reference Bah, Rashid, Javed, Pasha and Shahid2021a, Reference Bah, Javed, Pasha and Shahid2021b) as a response to the declining levels of groundwater due to climate change (Taylor et al., Reference Taylor, Scanlon, Döll, Rodell, Van Beek, Wada and Treidel2013). Strategies such as controlling sprinkler flow rate (Chen et al., Reference Chen, Schütz and Tucker2015, Reference Chen, Schütz and Tucker2016; Tresoldi et al., Reference Tresoldi, Schütz and Tucker2019), droplet size (Chen et al., Reference Chen, Schütz and Tucker2015) and sprinkler cycle (Tresoldi et al., Reference Tresoldi, Schütz and Tucker2018b) have been evaluated to optimize the cooling process. Studies have shown that in dry and hot Mediterranean climates, cows cooled with sprinklers with a flow rate of 1.3 and ≥4.5 l/min had similar physiological responses (Chen et al., Reference Chen, Schütz and Tucker2015). Similarly, an earlier study showed that there were no additional benefits of cooling cows with higher flow rates (8.2 and 11.7 l/min) compared to the lowest (5.2 l/min in a free-stall barn; Means et al., Reference Means, Bucklin, Nordstedt, Beede, Bray, Wilcox and Sanchez1992). In semi-arid summer, cows cooled with 1.25 and 2.0 l/min flow rates produced similar physiological and productive responses (Bah et al., Reference Bah, Rashid, Javed, Pasha and Shahid2021a; Macavoray et al., Reference Macavoray, Rashid, Rahman and Shahid2023). While relatively limited research has been conducted on dairy buffaloes, a recent study showed that sprinklers with flow rates of 1.25 and 2.0 l/min resulted in similar physiological and productive responses in buffaloes (Bah et al., Reference Bah, Javed, Pasha and Shahid2021b). Further research in this area could lead to a better understanding of the efficiency of sprinkler cooling in buffaloes, particularly in relation to sprinkler cycles and flow rates. The objective of this study was to assess the impact of varying sprinkler cycles and flow rates on the physiological, behavioural, and productive responses of dairy buffaloes during semi-arid summer.

Materials and methods

Study site

The study was conducted at a commercial dairy farm near the University of Veterinary and Animal Sciences Lahore (UVAS), Ravi Campus, Pattoki, Pakistan during the hot and humid summer months of July and August 2021, spanning 42 d. All experimental procedures were conducted in accordance with the guidelines of the Ethical Review Committee of UVAS (dr/16:19-01-2021).

Study animals, housing and management

Nine Nili Ravi buffaloes with an average daily milk yield of 6.6 ± 0.7 kg, days in milk of 100 ± 14, and parity of 3.6 ± 0.8, were enrolled for the study. The buffaloes were housed in a traditional, naturally ventilated shed with a precast concrete roof and brick floor. The daily feeding allowance, on as-fed basis, included 60 kg of fresh sorghum fodder and 3 kg of concentrate per buffalo. Individual water tubs were placed for each buffalo in the shed during the daytime and a water trough, in the loafing area, was available for free access during the nighttime. Hand milking was done twice daily (0500 and 1700 h). Further details regarding housing and management can be found in the online Supplementary File.

Experimental design and treatments

The study employed a double replicated 3 × 3 Latin square design with the aim of evaluating the effects of two flow rates and three sprinkler cycles. The flow rates were 1.25 and 2 l/min, and the sprinkler cycles (minutes water on/off, number of cycles per hour) were: 3/3, 10 cycles, 3/6, 7 cycles and 3/9, 5 cycles. The study was conducted in two Latin squares, each consisting of three periods with 7 d per period. In the first square, during each period, the three sprinkler cycles were applied to the buffaloes (3 buffaloes/cycle) using a flow rate of 1.25 l/min. The second square had the same design, except that the flow rate was increased to 2.0 l/min. Online Supplementary Table S1 provides a detailed outline of the treatment application. Adaptation was carried out in the first four days of each period, and data were collected for the remaining 3 d.

Environmental measures

The environmental measures of air temperature (T, °C), humidity %, temperature humidity index (THI), black globe temperature, heat load index and wind speed were recorded using a portable weather station (Kestrel 5400 cattle heat stress tracker: 0854AGLVCHVG). The weather station was configured to record climate measures at 20-min intervals, for 24 h. It was placed in the outside loafing area.

Physiological and behavioural measures

The vaginal temperature (VT), as an indicator of core body temperature of buffaloes, was recorded every 20 min for 3 consecutive days in each period using thermochron dataloggers (iButton: model DS1921H-F5, iButtonLink, Llc., Whitewater, USA). The data loggers were placed intravaginally using an inert CIDR device. Respiration rate (RR) of all the enrolled buffaloes was recorded at eight different time points: 0700, 0900, 1100, 1300, 1500, 1700, 1800 and 2100 h. The RR was measured by visually observing flank movements and counting them to determine the number of breaths per minute. The same observer meausred the respiration rate of all buffaloes. Body surface temperature (ST) was measured at the same eight different time points of the day as the RR, using a thermal camera (model: FLIR C3-X compact thermal camera, thermal sensitivity <70 mK; FLIR Systems, Inc., Wilsonville, USA). The ST was recorded for four different regions: the shoulder, flank, udder, and lower belly.

The Nedap CowControl™ system (NEDAP, Groenlo, Netherlands) was utilized to record behavioural measures of lying time, eating time, rumination time, standing time and the number of steps.

Milk yield and milk components

The daily milk yield for each buffalo from morning and evening milking was recorded in Kg. Once a week, samples of the milk were taken and analysed for their protein, fat and lactose content using a portable milk analyser (model: Lactoscan Standard; Milkotronic Ltd, Nova Zagora, Bulgaria).

Selected blood metabolites

Blood samples were collected once every week from the jugular vein during the early morning hours (from 4:00 to 5:00 a.m.). The samples were drawn into sterile anticoagulant vacutainer tubes, immediately placed in a cold chain and transported to the laboratory. Once in the laboratory, the samples were centrifuged and the serum was separated and stored at −20°C until analysed. The serum was analysed for glucose (using the Glucose GOD FS kit from DiaSys Diagnostic Systems GmbH, Holzheim, Germany), blood urea nitrogen (using the Randox Urea Kinetic kit from Randox Laboratories Ltd., UK) and cortisol (using the Cortisol Elisa kit from Calbiotech, California, USA) with the help of a spectrophotometer (Epoch2, BioTek, Winooski, VT, USA).

Statistical analysis

All the statistical analyses were performed using SAS software (SAS for Academics: SAS Institute Inc., Cary, NC). To obtain period means, the data collected for individual buffaloes on the recording days of each period were averaged. The normality of the data averages was assessed using the Shapiro–Wilk test, using the Univariate Procedure of SAS. For normally distributed data, ANOVA was performed using the Mixed Procedure of SAS. The following model was used for the ANOVA:

$Y_{{\rm ijkl}}\,{\rm} = {\rm \mu }\,{\rm} + T_{\rm i}\,{\rm} + F_{\rm j}\,{\rm} + P_{{\rm k\colon j}}\,{\rm} + C_{\rm l}\,{\rm} + e _{{\rm ijkl}}{\rm , \;}$

where Y ijkl = the dependent variable; μ = the overall mean; T i = the fixed effect of treatment (showering cycle) i, where i = 3|3, 3/6, or 3|9, three showering cycles; F j = the fixed effect of flow rate j, where j = 1 or 2, 1.25 or 2.0 l/min; P k:j = the fixed effect of period k within flow rate j, where k = 1, 2, or 3, three periods; C l = the random effect of buffalo l, where l = 1… n; and е ijkl = the random error. The least-square means were separated using Tukey's adjusted P-values. The differences were considered significant at P ≤ 0.05. Data are presented as mean ± sem unless stated otherwise.

Results

Environmental measures

The environmental measures are summarized in the online Supplementary Table S2. The average T and THI during the daytime treatment application period were 37.6 ± 2.8°C and 89 ± 2, respectively (mean ± sd). The extreme values for these varibles were 44.5°C and 94, respectively.

Milk yield and milk components

Data are shown in Table 1. Both the sprinkler cycle and flow rate influenced milk yield. However, no interactions or trends for cycle and flow rate were observed (P > 0.05). Buffaloes in the 3/3 group produced 0.7 and 0.5 kg/d more milk per day than those in the 3/9 and 3/6 groups (Table 1). Similarly, buffaloes in the 2.0 l/min flow rate group produced 0.8 kg more milk per day compared to those in the 1.25 group. Buffaloes in the 3/3 group had a 1% higher fat percentage compared to those in the 3/9 group but the 3/3 and 3/6 groups had similar fat percentages (Table 1). The sprinkler cycle and flow rate did not influence the milk protein and lactose percentage. However, the total milk components yield was significantly higher in the 3/3 sprinkler cycle group compared to the other treatment groups. Specifically, buffaloes in the 3/3 group had 124 g more fat yield than the 3/9 group (Table 1). Additionally, the 3/3 group had higher protein and lactose yield than the other groups. Similarly, the milk components yield in the 2.0 l/min flow rate group was higher compared to the 1.25 group (Table 1).

Table 1. Effect of showering cycle and flow rate on milk yield and milk components of Nili Ravi buffaloes during summer, presented as LS Means ± sem

Within a row, means with dissimilar superscripts differ, P<0.05 or better

Physiological measures

VT data are presented in Fig. 1. Both the sprinkler cycle and flow rate affected VT. Buffaloes in the 3/3 group had slightly lower VT in comparison to 3/9 group during the daytime (39.0 vs. 39.1°C; sem = 0.02; Fig. 1A). Overall, buffaloes in all the groups had higher VT during the early nighttime compared to the daytime and the early morning. On average, the VT during the early nighttime and early morning was 39.5 ± 0.04 and 38.9 ± 0.03°C, respectively. Similarly, buffaloes in the 2 l/min flow rate had 0.2°C lower VT in comparison to the 1.25 l/min group, during the daytime (38.9 vs. 39.1°C; sem = 0.02; Fig. 1B). The 24 h VT averages showed a similar pattern; the 2 l/min flow rate had 0.2°C lower VT than the 1.25 l/min group (39.1 vs. 39.3°C; se = 0.02; Fig. 1B).

Fig. 1. Mean hourly intravaginal temperature (°C) of Nili Ravi buffaloes in response to sprinkler cycles (A) and sprinkler flow rates (B). Sprinkler cycles (water on/off) were of three categories: 3/3, in which the sprinklers sprayed water for 3 min then stopped for 3 min in a 6 min cycle, 3/6 (3 min water on and 6 min off in a 9 min cycle) and 3/9 (3 min water on and 9 min off in a 12 min cycle; n = 9 animals per treatment, 9 d of recording/animal, 24 h/day). Sprinkler flow rates were of two categories 1.25 and 2.0 l/min. Shaded region represents the sprinkler application time. Error bars represent se.

RR is presented in Fig. 2. Both the sprinkler cycle and flow rate affected RR. There was no interaction observed between cycle and flow rate on RR in our study (P > 0.05). Buffaloes in the 3/3 sprinkler cycle group had slightly lower RR in comparison to 3/9 group during the daytime showering period (18 vs. 19 breaths/min; sem = 0.22; Fig. 2A) whilst the 3/3 and 3/6 groups had similar RR. Overall, buffaloes in all the groups had higher RR in the evening and early nighttime compared to the daytime. The average RR in the early nighttime was 23 breaths/min. Buffaloes in the 2 l/min flow rate group had lower RR in comparison to 1.25 l/min group during the showering period (18 vs. 19 breaths/min; sem = 0.22; Fig. 2B).

Fig. 2. Mean respiration rate of Nili Ravi buffaloes in response to sprinkler cycles (A) and sprinkler flow rates (B), taken at different time points of a day. Treatment details as for Fig. 1. Shaded region represents the sprinkler application time. Error bars represent se.

The body surface temperature data for various body parts are given in online Supplementary Figs S1 and S2. Notably, the 3/3 sprinkler group exhibited approximately 1°C lower surface temperatures in the flank, shoulder and udder regions compared to the 3/9 group, particularly during the afternoon hours. Likewise, the 2 l/min flow rate group displayed lower body surface temperatures compared to the 1.25 l/min group, especially in the afternoon.

Behavioral responses

The sprinkler cycle and flow rate did not affect feeding time and rumination activity (Table 2). Buffaloes spent, on average, 155 ± 9 min/d feeding and 783 ± 37 min/d ruminating. The sprinkler cycle and flow rate affected lying time (Table 2). Buffaloes in the 3/3 sprinkler cycle group had 49 min/d more lying than the 3/9 group (560 vs. 51 min/d; se = 23). Neither sprinkler cycle nor flow rate affected inactive standing time. On average, buffaloes spent 484 ± 30 min/d standing inactively (no walking, rumination or any other activity).

Table 2. Effect of showering cycle and flow rate on behavioural measures of Nili Ravi buffaloes during summer, presented as LS Means ± se

Blood metabolites

Neither sprinkler cycle nor flow rate had a significant impact on blood metabolites, including glucose, BUN, and cortisol levels. However, it's worth noting that blood glucose levels in the 3/3 sprinkler cycle group were numerically (non-significantly) higher compared to the 3/9 group (69.9 vs. 51.4 mg/dl; sem = 6.6; P = 0.14; Table 3), with similar levels observed in the 3/3 and 3/6 groups (Table 3).

Table 3. Effect of showering cycle and flow rate on blood metabolites of buffaloes during summer, presented as LS Means ± se.

Discussion

This study found that the sprinkler cycle and flow rate had a significant impact on the productive, physiological, and certain behavioural responses in dairy buffaloes. Cooling buffaloes more frequently with shorter intervals and using more water was much effective in enhancing their performance and well-being. During the study period, the environmental conditions imposed moderate to severe heat stress on the buffaloes. The average daily THI recorded during the study was 85.7, exceeding the threshold of 74 for dairy buffaloes as reported by Choudhary and Sirohi (Reference Choudhary and Sirohi2019). The relatively high level of heat stress during the study period provided an opportunity to effectively evaluate the impact of sprinkler cycle and flow rate interventions.

Our findings suggest that a higher frequency of cooling, as determined by the sprinkler cycle (water on and off durations), can be more effective in improving milk yield. Buffaloes in the group with the highest frequency of cooling (3/3 group) produced more milk than the other groups, as this provided more consistent and sustained relief from heat stress than the other cycles. This is supported by the observed improvements in core body temperatures and respiration rate, all of which are important indicators of animal welfare and productivity. Whilst the difference in respiratory rate between the treatment groups was not substantial, it closely aligned with rates reported in previous studies conducted under similar conditions (Bah et al., Reference Bah, Rashid, Javed, Pasha and Shahid2021a, Reference Bah, Javed, Pasha and Shahid2021b, Reference Bah, Shahid, Pasha and Javed2022). Unlike cattle, buffaloes do not primarily rely on respiratory rate as a means to dissipate heat, instead, they employ wallowing behaviour, which facilitates heat dissipation through convection. It is important to note that the sprinklers provided convective heat dissipation in all the groups. While the relatively minor difference in RR between the 3/3 and 3/9 groups may not carry significant biological implications, it does suggest that buffaloes in the 3/3 group may experience a somewhat lower heat load compared to those in the 3/9 group. In addition to the frequency of cooling, the flow rate of water also had a significant impact on milk yield in buffaloes. The group that received a higher flow rate of 2 l/min produced more milk than the group that received 1.25 l/min, indicating that increasing water flow can be effective in improving milk production. This finding contrasts with previous research on dairy cows (Chen et al., Reference Chen, Schütz and Tucker2016), which did not observe any additional benefit in milk production with a flow rate higher than 1.3 l/min. The difference in results between buffalo and cows could be attributed to their difference in heat dissipation mechanisms as well as adaptations to heat stress environmental conditions. Cows have a thick coat of hair that can trap water, enabling evaporative cooling, while buffaloes have a sparse coat that allows water to flow directly onto the skin, promoting heat loss through convection. In addition, dairy cows produce much more metabolic heat due to higher milk yield than buffaloes. The presentation of body surface temperature in the Supplementary File as Figs S1 and S2 provides additional insight into the effect of sprinkler flow rate on the cooling of buffaloes. The results show that the surface temperature of various regions of the body was lower in the 2 l/min flow rate group compared to the 1.25 l/min group, indicating that a higher flow rate can improve cooling efficacy. This finding is consistent with the core body temperature and respiration rate results, further supporting the conclusion that a higher sprinkler flow rate may be more effective in cooling buffaloes.

The results indicate that there was a distinct pattern of VT in buffaloes over a 24-h period. The lowest VT occurred in the early morning, which could be attributed to cooler ambient conditions. However, the highest VT (≥39.7°C) was observed during the early nighttime. Increased body temperatures during early nighttime (2100 to 2200 h) have been reported previously (Tresoldi et al., Reference Tresoldi, Schütz and Tucker2019). This is likely because after sunset, the environment and surrounding structures release heat absorbed during the day, which is then absorbed by the buffaloes' bodies. The absence of cooling during this time led to the highest VT. Therefore, it is important to implement appropriate heat abatement strategies during this period for dairy buffaloes in semiarid climates. During the daytime, the VT of buffaloes was lower when sprinkler application was applied in all the treatment groups. The association between VT and RR is not quite evident in buffaloes, as they primarily rely on mechanisms other than respiration to cool their bodies, as described earlier. However, in cattle under similar climate conditions, cows with increased RR have been observed to have lower VT (Macavoray et al., Reference Macavoray, Rashid, Rahman and Shahid2023).

We have shown that the sprinkler cycle and flow rate have a more significant impact on the lying time of buffaloes than on their feeding and rumination activity. Buffaloes in the 3/3 sprinkler cycle group had 49 min more lying time per day compared to the 3/9 group. This suggests that the 3/3 sprinkler cycle may have been more effective in promoting heat dissipation and rest for the animals. Additionally, the study found that neither the sprinkler cycle nor flow rate had a significant impact on inactive standing time. Overall, these results suggest that whilst the sprinkler cycle and flow rate do have some impact on the behaviour of buffaloes, it is not significant enough to affect their overall feeding and rumination activity.

In conclusion, this study found that the sprinkler cycle and flow rate had a significant impact on the physiological, behavioural, and productive responses in dairy buffaloes. These results suggest that the 3/3 showering cycle with 2 l/min flow rate is an effective strategy for improving the well-being and milk production of dairy buffaloes during hot weather conditions. The study's findings can be useful for farmers who are looking for ways to improve the comfort and productivity of their buffaloes during the hot summer months.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0022029923000687

References

Anderson, SD, Bradford, BJ, Harner, JP, Tucker, CB, Choi, CY, Allen, JD, Hall, LW, Rungruang, S, Collier, RJ and Smith, JF (2013) Effects of adjustable and stationary fans with misters on core body temperature and lying behavior of lactating dairy cows in a semiarid climate. Journal of Dairy Science 96, 47384750.10.3168/jds.2012-6401CrossRefGoogle Scholar
Bah, M, Rashid, MA, Javed, K, Pasha, TN and Shahid, MQ (2021a) Effects of sprinkler flow rate on physiological, behavioral and production responses of Nili Ravi buffaloes during subtropical summer. Animals 11, 339.10.3390/ani11020339CrossRefGoogle ScholarPubMed
Bah, M, Javed, K, Pasha, TN and Shahid, MQ (2021b) Sprinkler flow rate affects physiological, behavioural and production responses of Holstein cows during heat stress. South African Journal of Animal Science 51, 560565.10.4314/sajas.v51i5.2CrossRefGoogle Scholar
Bah, M, Shahid, MQ, Pasha, TN and Javed, K (2022) Performance and welfare of dairy buffaloes subjected to different cooling strategies during subtropical summer. Tropical Animal Health and Production 54, 18.CrossRefGoogle ScholarPubMed
Chen, JM, Schütz, KE and Tucker, CB (2013) Dairy cows use and prefer feed bunks fitted with sprinklers. Journal of Dairy Science 96, 50355045.10.3168/jds.2012-6282CrossRefGoogle ScholarPubMed
Chen, JM, Schütz, KE and Tucker, CB (2015) Cooling cows efficiently with sprinklers: physiological responses to water spray. Journal of Dairy Science 98, 69256938.10.3168/jds.2015-9434CrossRefGoogle ScholarPubMed
Chen, JM, Schütz, KE and Tucker, CB (2016) Cooling cows efficiently with water spray: behavioural, physiological and production responses to sprinkler at feed bunk. Journal of Dairy Science 99, 46074618.10.3168/jds.2015-10714CrossRefGoogle ScholarPubMed
Choudhary, BB and Sirohi, S (2019) Sensitivity of buffaloes (Bubalus bubalis) to heat stress. Journal of Dairy Research 86, 399405.10.1017/S0022029919000773CrossRefGoogle ScholarPubMed
Keister, ZO, Moss, KD, Zhang, HM, Teegerstrom, T, Edling, RA, Collier, RJ and Ax, RL (2002) Physiological responses in thermal stressed Jersey cows subjected to different management strategies. Journal of Dairy Science 85, 32173224.CrossRefGoogle ScholarPubMed
Macavoray, A, Rashid, MA, Rahman, H and Shahid, MQ (2023) On-farm water use efficiency: impact of sprinkler cycle and flow rate to cool Holstein cows during semi-arid summer. Sustainability 15, 3774.10.3390/su15043774CrossRefGoogle Scholar
Means, SL, Bucklin, RA, Nordstedt, RA, Beede, DK, Bray, DR, Wilcox, CJ and Sanchez, WK (1992) Water application rates for a sprinkler and fan dairy cooling system in hot, humid climates. Applied Engineering in Agriculture 8, 375379.CrossRefGoogle Scholar
Napolitano, F, Pacelli, C, Grasso, F, Braghieri, A and De-Rosa, G (2013) The behaviour and welfare of buffaloes (Bubalus bubalis) in modern dairy enterprises. Animal: An International Journal of Animal Bioscience 7, 17041713.CrossRefGoogle ScholarPubMed
Taylor, RG, Scanlon, B, Döll, P, Rodell, M, Van Beek, R, Wada, Y and Treidel, H (2013) Ground water and climate change. Nature Climate Change 3, 322329.10.1038/nclimate1744CrossRefGoogle Scholar
Tresoldi, G, Schütz, KE and Tucker, CB (2018a) Cooling cows with sprinklers: spray duration affects physiological responses to heat load. Journal of Dairy Science 101, 44124423.CrossRefGoogle ScholarPubMed
Tresoldi, G, Schütz, KE and Tucker, CB (2018b) Cooling cows with sprinklers: timing strategy affects physiological responses to heat load. Journal of Dairy Science 101, 1123711246.10.3168/jds.2018-14917CrossRefGoogle ScholarPubMed
Tresoldi, G, Schütz, KE and Tucker, CB (2019) Cooling cows with sprinklers: effects of soaker flow rate and timing on behavioural and physiological responses to heat load and production. Journal of Dairy Science 102, 528538.10.3168/jds.2018-14962CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Effect of showering cycle and flow rate on milk yield and milk components of Nili Ravi buffaloes during summer, presented as LS Means ± sem

Figure 1

Fig. 1. Mean hourly intravaginal temperature (°C) of Nili Ravi buffaloes in response to sprinkler cycles (A) and sprinkler flow rates (B). Sprinkler cycles (water on/off) were of three categories: 3/3, in which the sprinklers sprayed water for 3 min then stopped for 3 min in a 6 min cycle, 3/6 (3 min water on and 6 min off in a 9 min cycle) and 3/9 (3 min water on and 9 min off in a 12 min cycle; n = 9 animals per treatment, 9 d of recording/animal, 24 h/day). Sprinkler flow rates were of two categories 1.25 and 2.0 l/min. Shaded region represents the sprinkler application time. Error bars represent se.

Figure 2

Fig. 2. Mean respiration rate of Nili Ravi buffaloes in response to sprinkler cycles (A) and sprinkler flow rates (B), taken at different time points of a day. Treatment details as for Fig. 1. Shaded region represents the sprinkler application time. Error bars represent se.

Figure 3

Table 2. Effect of showering cycle and flow rate on behavioural measures of Nili Ravi buffaloes during summer, presented as LS Means ± se

Figure 4

Table 3. Effect of showering cycle and flow rate on blood metabolites of buffaloes during summer, presented as LS Means ± se.

Supplementary material: File

Hussain et al. supplementary material

Hussain et al. supplementary material
Download Hussain et al. supplementary material(File)
File 225.3 KB